Your build is stuck.
I get it shipped.
For founders whose AI-built MVP is breaking at scale, whose freelancer ghosted, or whose project stalled mid-launch. Scoped recovery work with clear deliverables. No retainers required, no open-ended consulting.
You shipped something that worked, then it stopped working at the wrong moment.
- You shipped fast with Cursor, Lovable, Claude Code, or a contract dev, and now real users are breaking it
- Your codebase has issues you can't pin down, auth boundaries, scaling, data integrity, security
- An enterprise deal is stalled because your tech can't pass a pentest, DPA review, or due diligence
- A freelancer disappeared mid-build and you have to make their work production-ready
- A migration, refactor, or platform-switch stalled and the team can't get unstuck
If two or more of those describe you, the Review is built for your situation.
Four patterns I keep seeing.
No two rescues are identical. But the failure modes rhyme. Here are four shapes the work usually takes, anonymized, condensed, real.
The pipeline.
Diagnostic first, always. I won't quote a Rescue Sprint until I've read the codebase. The Production Readiness Review is the gate, and you walk away with the report whether or not we proceed.
Triage
30-min call. What's broken, what's at stake, what's the blocker. Decide if rescue is the right tier or if you need something else.
Diagnose
Full read-through of the codebase, infra, and recent incidents. I find what's actually wrong, not what you think is wrong.
Prioritize
Ranked report. Severity, blast radius, time-to-fix, dependencies. Some items might not need fixing. Honest call.
Scope
Fixed price, fixed scope on the items that matter. If the rescue uncovers more than expected, I tell you within 3 days, before scope creeps.
Rescue
Two to four weeks of focused work. The pipeline runs; I review every diff. Real fixes on the real codebase, not advice.
Hand off
Written handoff with what changed, why, and how to maintain it. Repo stays yours, history stays clean, you walk away whole.
Honest scope or no scope. That's the whole agreement.
Two tiers. You start with the Review.
Pricing is fixed and upfront. The Review stands alone. The Sprint only runs after a Review.
Production Readiness Review
- Full code review against production-readiness criteria (auth, data integrity, scaling, observability, security, CI)
- Infrastructure review: hosting, secrets, deploys, backups, monitoring
- Ranked report: severity, blast radius, fix estimate, dependencies
- 1-hour walkthrough call once delivered
- The report is yours. Use it with me, with your team, or with someone else. No strings.
Rescue Sprint
- Fix the top-priority items from the Review
- Fixed-scope, fixed-price. No hourly billing. No "we'll see how it goes."
- The pipeline executes; I review every diff. Same model as AI Dev Pipeline, scoped to recovery work.
- Daily async update on progress. Weekly call.
- Written handoff at the end: what changed, why, how to maintain it
Diagnostic depth. Verifiable artifacts.
Some rescues are under NDA. Where the work is mine to show, here's what the diagnostic depth looks like.
The same diagnostic depth applied to my own engineering toolchain, every day.
475 tests, 21 files updated daily, every commit reviewed. The same eyes that find the row-level-security bug in a client's auth boundary are the eyes that maintain my own production system. The diagnostic instinct comes from doing this work continuously, not from a one-off audit.
The dashboard with no RLS.
Most AI-built MVPs have it. Found in 7 of the last 11 reviews. Always fixable, always cheap to find, always devastating if a customer finds it first.
Singleton state in a stateless service.
Passes locally, passes staging, breaks at 200 concurrent. Found in 4 of the last 11 reviews. One-week fix every time.
Straight answers.
The questions every founder asks before they admit something's broken.
Two honest doors.
The Review is the same either way.
If you'd rather start over than rescue, see MVP Build. If you need ongoing partnership instead of recovery, see Fractional CTO.
Matt